Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...

New model harnesses machine learning and 15Five’s vast dataset spanning 6 years, 30 million responses and thousands of organizations SAN FRANCISCO--(BUSINESS WIRE)--15Five, the strategic performance ...

Therefore, the predictive accuracy of statistical models has so far only been demonstrated in a few data sets of limited size. In the current work, the scientists are investigating the potential of AI ...

A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...

Researchers from the University of Melbourne have created a generative AI tool that predicts patients' disease progression more accurately than existing machine learning-based models. Dubbed DT-GPT, ...

Taking the targeting of oncologists likely to start treatment with CAR-T as an example, validation studies show that targeting top-scored physicians from predictive models yields precision rates of 60 ...

The algorithms often used by colleges to predict students’ likelihood of graduating can produce less accurate results for Black and Hispanic students compared to their peers, a new study says.

Predictive maintenance and digital twin technologies use real-time aircraft data and advanced analytics to help MROs increase ...

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